Evidence map›Paper›PMID 26202760›Full record

ArticleHepatology international2014

Assessment of the features of serum apolipoprotein profiles in chronic HCV infection: difference between HCV genotypes 1b and 2.

Nobuyoshi Seki, Tomonori Sugita, Yuta Aida, Munenori Itagaki, Haruya Ishiguro, Satoshi Sutoh, Hiroshi Abe, Akihito Tsubota, Masato Matsushima, Yoshio Aizawa

Abstract read
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Article in Hepatology international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Review
  6. Hepatitis C virus relies on lipoproteins for its life cycle.World journal of gastroenterology · 2016
    Review
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Nobuyoshi SekiDivision of Gastroenterology and Hepatology, Internal Medicine of Jikei University Katsushika Medical Center, 6-41-2, Aoto, Katsushikaku, Tokyo, 125-8506, Japan. novseki@jikei.ac.jp.
Tomonori SugitaDivision of Gastroenterology and Hepatology, Internal Medicine of Jikei University Katsushika Medical Center, 6-41-2, Aoto, Katsushikaku, Tokyo, 125-8506, Japan.
Yuta AidaDivision of Gastroenterology and Hepatology, Internal Medicine of Jikei University Katsushika Medical Center, 6-41-2, Aoto, Katsushikaku, Tokyo, 125-8506, Japan.
Munenori ItagakiDivision of Gastroenterology and Hepatology, Internal Medicine of Jikei University Katsushika Medical Center, 6-41-2, Aoto, Katsushikaku, Tokyo, 125-8506, Japan.
Haruya IshiguroDivision of Gastroenterology and Hepatology, Internal Medicine of Jikei University Katsushika Medical Center, 6-41-2, Aoto, Katsushikaku, Tokyo, 125-8506, Japan.
Satoshi SutohDivision of Gastroenterology and Hepatology, Internal Medicine of Jikei University Katsushika Medical Center, 6-41-2, Aoto, Katsushikaku, Tokyo, 125-8506, Japan.
Hiroshi AbeDivision of Gastroenterology and Hepatology, Internal Medicine of Jikei University Katsushika Medical Center, 6-41-2, Aoto, Katsushikaku, Tokyo, 125-8506, Japan.
Akihito TsubotaCore Research Facilities for Basic Science, Research Center for Medical Science, The Jikei University School of Medicine, 3-25-8, Nishishimbashi, Minatoku, Tokyo, 105-8461, Japan. atsubo@jikei.ac.jp.
Masato MatsushimaDivision of Clinical Epidemiology, The Jikei University School of Medicine, 3-25-8, Nishishimbashi, Minatoku, Tokyo, 105-8461, Japan. clinicalepi@jikei.ac.jp.
Yoshio AizawaDivision of Gastroenterology and Hepatology, Internal Medicine of Jikei University Katsushika Medical Center, 6-41-2, Aoto, Katsushikaku, Tokyo, 125-8506, Japan.
Katsushika Medical Center · JPJikei University School of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe life cycle of hepatitis C virus (HCV) is tightly associated with host lipoprotein metabolic pathways. Apolipoprotein is present on the outer surface of lipoprotein particles and plays an important role in lipoprotein metabolism. We aimed to elucidate the influence of chronic HCV infection on serum apolipoprotein profiles.

methodsFasting serum apolipoprotein profiles of 310 subjects with active or cleared HCV infection were examined. Subsequently, the association between chronic HCV infection and serum apolipoprotein levels was determined using multiple regression analysis.

resultsActive HCV infection was associated with high serum levels of apo A-II and low serum levels of apo C-II and C-III. HCV infection with both genotype 1b (G1b) and genotype 2 (G2) was associated with low serum levels of either apo C-II and C-III, whereas only HCV G1b infections caused elevated levels of apo A II and E. Among active HCV infections, HCV G1b was associated with an elevation in the serum apo E levels. Furthermore, IL28B non-major genotype (rs8099917 TG/GG) was associated with low levels of serum apo B and high levels of apoA-II, and advanced fibrosis was associated with low levels of apo B and C-II in G1b infection.

conclusionsActive HCV infection is distinctively associated with characteristic serum apolipoprotein profiles. The influence on apolipoprotein profiles varies with different HCV genotypes. Moreover, the genotype of IL28B and hepatic fibrosis affected serum apolipoproteins in G1b infection. Abnormalities in serum apolipoproteins may provide a clue to the elucidation of complex interactions between active HCV infection and lipid metabolism.

Indexed as

ApolipoproteinGenotypeHepatitis CLipid metabolism

Identifiers

PMID26202760
OpenAlexW2069200409

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.